{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current 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matplotlib.pyplot as plt\nimport seaborn  as sns","metadata":{"execution":{"iopub.status.busy":"2023-07-25T05:08:27.780321Z","iopub.execute_input":"2023-07-25T05:08:27.780809Z","iopub.status.idle":"2023-07-25T05:08:28.593469Z","shell.execute_reply.started":"2023-07-25T05:08:27.780772Z","shell.execute_reply":"2023-07-25T05:08:28.592464Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2023-07-25T08:16:07.566990Z","iopub.execute_input":"2023-07-25T08:16:07.567438Z","iopub.status.idle":"2023-07-25T08:16:08.132979Z","shell.execute_reply.started":"2023-07-25T08:16:07.567392Z","shell.execute_reply":"2023-07-25T08:16:08.131529Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}